EDEPS (Early Detection of ExtraPyramidal Symptoms): supervised machine learning models to detect antipsychotics-induced extrapyramidal hand tremor from a mobile device built-in sensors
Wysokinski, A.; Zwierzchowska-Kieszek, A.
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IntroductionApproximately 30% of patients treated with antipsychotics develops extrapyramidal side effects, among which hand tremor is not only common, but also significantly impacting daily activities. No tool for remote assessment of hand tremor is available. Materials and methodsWe collected SAS and AIMS scores and digital recordings of health tremor from healthy and schizophrenia patients on antipsychotics. Next, we created and tested a supervised machine learning models for detecting and measuring severity of antipsychotics-induced hand tremor. ResultsWe present model details, accuracy measures (R2 and RMSE for regressors; log loss, AUC, misclassification, rate, accuracy, sensitivity and specificity for classifiers) and analysis of hand tremor spectral analysis. ConclusionsOur model offers a satisfactory accuracy (0.95 to 1.0) and performance, even if only 10 second data is available. Result of the spectral analysis indicate that the dominating frequency of hand tremor in antipsychotics-induced EPS is approximately 5.0 Hz.
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